Ph.D. Proposal Oral Exam - Shiyuan Yin

Modeling, Control, and Fault-tolerant Operation of the Isolated Modular Multilevel DC-DC Converter for MVDC Applications

Ph.D. Proposal Oral Exam - Taeyong Shin

Machine Learning-Based Structural Health Monitoring of Concrete Structures using Acoustic Signals

Ph.D. Proposal Oral Exam - Decheng Yan

Decentralized power flow controlling device with enhanced dynamic grid-support functionality

PhD Proposal by Feng Xiao

Understanding and Mitigating Security Risks for Software Supply Chain Customers

Ph.D. Proposal Oral Exam - Wenyuan Song

Machine Learning Approaches to Predicting Postoperative Hemodynamics after Cardiac Surgeries

Ph.D. Proposal Oral Exam - Aleksandr Fedorov

Self-Supervised Multimodal Representation Learning for Neuroimaging

Ph.D. Proposal Oral Exam - Piyush Kumar

Modeling and benchmarking of spintronic devices for memory and in-memory compute applications

PhD Proposal by Joseph Kern

“Design of (De)Polymerizable Polymers Using Machine Learning-Based Predictive Models and Generative Algorithms”

Ph.D. Proposal Oral Exam - James Dee

Application of the Mortar Element Method to HP-refinement in the Method of Moments

PhD Proposal by Rahul Rameshbabu

Solving Large-scale Inverse Problems Using Bayesian Inference and Surrogate Modeling
Subscribe to Other/Miscellaneous